For readers interested in extending research on conversational AI for task completion, Microsoft-Tsinghua ConvLab [1]}, [2]} can provide a useful starting point. This toolkit enables evaluating and running models in a scientific benchmark and academic setting. The current version of the toolkit has established workflows for common dialog datasets including MultiWOZ [3]} and CamRest [4]}. ConvLab also has a suite of common natural language understanding (NLU) tools such as BERT NLU. It also has more advanced features such as reinforcement learning (RL) for learning dialog policies with a variety of RL techniques implemented. Finally, there is an interactive bot simulation interface for interactive evaluation and debugging.
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